Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
2818
Single Precision Score
1426
Half Precision Score
5393
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 10:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8500G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E30 |
| Motherboard | Micro-Star International Co., Ltd. B650M BOMBER WIFI (MS-7E30) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8500G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2360
438.9 IPS |
|
|
Image Classification (HP)
|
100% |
564
105.0 IPS |
|
|
Image Classification (Q)
|
99% |
5491
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2917
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4762
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3933
4.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
16741
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2186
173.4 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
86% |
5808
466.8 IPS |
|
|
Face Detection (SP)
|
100% |
3619
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
1471
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
7737
92.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6296
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2212
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6779
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11303
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9708
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15993
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2116
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3214
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
1578
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
729
972.6 IPS |
|
|
Text Classification (Q)
|
97% |
1751
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1806
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2834
56.9 IPS |
